Ethan R. Elenberg

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Approximation Guarantees

Asymptotic Properties

Feature Selection

Rank Minimization

Top Venues

DeepLo@EMNLP-IJCNLP

Publications

Loay Raed Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi
Submodular Minimax Optimization: Finding Effective Sets. AISTATS (2024)
Loay Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi
Submodular Minimax Optimization: Finding Effective Sets. CoRR (2023)
Anmol Kabra, Ethan R. Elenberg
Domain Private Transformers. CoRR (2023)
Ramya Ramakrishnan, Ethan R. Elenberg, Hashan Buddhika Narangodage, Ryan McDonald
Multi-Step Dialogue Workflow Action Prediction. CoRR (2023)
Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. CoRR (2023)
Anmol Kabra, Ethan R. Elenberg
Domain Private Transformers for Multi-Domain Dialog Systems. EMNLP (Findings) (2023)
Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald
On the Effectiveness of Offline RL for Dialogue Response Generation. CoRR (2023)
Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald
On the Effectiveness of Offline RL for Dialogue Response Generation. ICML (2023)
Nihal V. Nayak, Ethan R. Elenberg, Clemens Rosenbaum
CEREAL: Few-Sample Clustering Evaluation. CoRR (2022)
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
Identifying Mislabeled Data using the Area Under the Margin Ranking. CoRR (2020)
Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath
Achieving Multi-port Memory Performance on Single-Port Memory with Coding Techniques. ICICT (2020)
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
Identifying Mislabeled Data using the Area Under the Margin Ranking. NeurIPS (2020)
Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath
Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques. CoRR (2020)
Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei
Metric Learning for Dynamic Text Classification. CoRR (2019)
Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
Importance Weighted Generative Networks. ECML/PKDD (2) (2019)
Jeremy Wohlwend, Ethan R. Elenberg, Sam Altschul, Shawn Henry, Tao Lei
Metric Learning for Dynamic Text Classification. DeepLo@EMNLP-IJCNLP (2019)
Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
Importance weighted generative networks. CoRR (2018)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. AISTATS (2017)
Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. NIPS (2017)
Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. ICML (2017)
Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
Mining and Modeling Character Networks. WAW (2016)
Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
Mining and modeling character networks. CoRR (2016)
Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis
Distributed Estimation of Graph 4-Profiles. WWW (2016)
Ethan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis, Sahand N. Negahban
Restricted Strong Convexity Implies Weak Submodularity. CoRR (2016)
Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis
Distributed Estimation of Graph 4-Profiles. CoRR (2015)
Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. KDD (2015)
Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. CoRR (2015)
Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, Sriram Vishwanath
Wireless index coding through rank minimization. ICC (2014)